code: def interpolate(
      x: paddle.Tensor,
      size: Union[Sequence[int], int],
      /,
      *,
      mode: Optional[
          Literal["linear", "bilinear", "trilinear"]
      ] = "linear",
      scale_factor: Optional[Union[Sequence[int], int]] = None,
      recompute_scale_factor: Optional[bool] = None,
      align_corners: bool = False,
      antialias: Optional[bool] = False,
      out: Optional[paddle.Tensor] = None,
  ):
      raise IvyNotImplementedException()
  
imports: from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
  import paddle
  from ivy.functional.ivy.layers import _handle_padding, _depth_max_pooling_helper, _validate_max_pool_params
  from ivy.utils.exceptions import IvyNotImplementedException, IvyValueError
  from ivy.func_wrapper import with_supported_device_and_dtypes, with_unsupported_dtypes, with_supported_dtypes
  from ..None import backend_version
  import ivy
label_desc: Use image node_id 15 for calling a global function with example usage: interpolate() without return types